CN114510491B - Dynamic follow-up quantity table design method and system - Google Patents
Dynamic follow-up quantity table design method and system Download PDFInfo
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- CN114510491B CN114510491B CN202210410537.XA CN202210410537A CN114510491B CN 114510491 B CN114510491 B CN 114510491B CN 202210410537 A CN202210410537 A CN 202210410537A CN 114510491 B CN114510491 B CN 114510491B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Abstract
The invention discloses a method and a system for designing a dynamic follow-up table, wherein the method comprises the following steps: constructing a public question bank and a private question bank in advance according to the medical knowledge type; creating a public measuring table and a private measuring table according to the public question bank, the private question bank and the medical scene; storing the created public scale and private scale in a non-relational database; according to the medical scene requirements, the follow-up question types are quoted and copied from the public scale and the private scale, and the follow-up question types are used for constructing a follow-up scale which is adaptive to a corresponding department; and binding the constructed follow-up quantity table and the user, and executing pushing of the follow-up quantity table. The follow-up scale in the method and the system comprises a public scale and a private scale, wherein the public scale and the private scale provide low-cost and high-freedom follow-up scale design, and the learning cost of medical personnel can be greatly reduced through the public scale and the private scale design.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a method and a system for designing a dynamic follow-up visit scale.
Background
At present, after a patient is discharged from a hospital, a hospital needs to follow-up visit and observe the patient who has been treated once, the condition development condition of the patient is known in the follow-up visit process, the patient is subjected to rehabilitation guidance, a doctor can master the first-hand data of the condition of the patient through follow-up visit and observation, and improvement of the doctor's treatment experience and the patient's treatment is facilitatedAnd (6) treatment experience. The current follow-up mode is realized through static follow-up tables, and static follow-up tables have fixed form and content, makes when different medical departments have the demand to the follow-up tables, needs to carry out customized follow-up table development to different departments, makes whole development cycle longer, through finding the change research and development cycle of static follow-up tables after collecting the development time include:
whereinT Standing article : traditional requirements set up problem collection, superior confirmation, contract change, generally in 3-5 days. Time length of single demand communication (o) = DC, total time of demand communication (E) = DC
Development of a single task workload (o) = SC, total workload of development project (E) = SC
Where DE is a research and development speed burst factor, including team composition, development process, demand clarity and integrity, technical factors, team coordination, and other factors. FR is a comprehensive influence factor of research and development factors, including team change, demand change, team member part concurrent, business side error, development environment change and temporary increase and reduction tasks, different values are respectively configured according to the proportion of each influence factor, and the change period of the traditional single follow-up table can be 3-6 weeks, so that the period time of the traditional follow-up table is long, and the expansion and the change of the follow-up table are not facilitated.
Disclosure of Invention
One of the purposes of the invention is to provide a method and a system for designing a dynamic follow-up rating table, wherein the method and the system can realize the follow-up rating table design which is easy to expand, fast to store and better in high concurrent processing by providing a follow-up rating table which is adaptive to various medical departments and scenes, and the method and the system can utilize a MongoDB database as a technical model of a non-relational database (NoSql) and combine with the pre-designed follow-up rating forms which cover different medical departments and scenes.
Another object of the present invention is to provide a method and a system for designing a dynamic follow-up table, in which the follow-up table in the method and the system includes a public table and a private table, in which the public table and the private table provide low-cost and high-freedom follow-up table design, the question type in the public table is visible to all medical staff, the content of the question type in the public table is adapted to public medical knowledge, the question type in the private table is visible to a target department, and the content of the question type in the private table is adapted to specialized medical knowledge.
The invention also aims to provide a method and a system for designing the dynamic follow-up quantity table, wherein the public quantity table and the private quantity table in the method and the system can be copied in two directions, and after copying, the questions are the same but have different scopes, so that the method and the system can be adapted to different medical scenes, and the degree of freedom and the scene adaptation degree of the follow-up quantity table are improved.
The invention further provides a follow-up quantity table item type recommendation of the FpGrowth algorithm on the basis of follow-up quantity table item type design covering each department, and mining is carried out according to the relationship among different item types by using a frequent pattern tree in the FpGrowth algorithm, so that the recommended quantity table item types are more in line with the incidence relationship, and the active design cost of the quantity table is reduced.
The invention also aims to provide a method and a system for designing a dynamic follow-up table, wherein the method and the system realize the pushing of the table by adopting a short link technology, bind a patient and a system in a hospital in advance, perform the identification of patient information in the hospital in the recommendation process of the table, do not need to perform the identification of the patient information in a wide area network, can greatly improve the safety of the patient information by using the short network address information constructed in the short link technology, and are suitable for a communication mode with text length limitation such as short messages.
The invention also aims to provide a method and a system for designing the dynamic follow-up table, which introduce a follow-up table change application, follow-up table audit and a computer program flow of follow-up table change, thereby greatly reducing the time cost of customized development of the follow-up table.
To achieve at least one of the above objects, the present invention further provides a dynamic follow-up rating scale designing method, comprising:
constructing a public question bank and a private question bank in advance according to the medical knowledge type;
creating a public measuring table and a private measuring table according to the public question bank, the private question bank and the medical scene;
storing the created public scale and private scale in a non-relational database;
according to the medical scene requirements, the follow-up question types are quoted and copied from the public scale and the private scale, and the follow-up question types are used for constructing a follow-up scale which is adaptive to a corresponding department;
and binding the constructed follow-up quantity table and the user, and executing pushing of the follow-up quantity table.
According to a preferred embodiment of the invention, corresponding subject bank rights of a public scale and a private scale are configured for different departments, wherein the subjects in the public scale are set to be capable of being referenced and copied by all departments and medical personnel, and the subjects in the private scale are set to be capable of being referenced and copied only by the corresponding departments and medical personnel.
According to another preferred embodiment of the present invention, the design method further comprises: and acquiring the questions corresponding to the private scale, converting the private scale questions into public questions, and storing the public questions into a non-relational database corresponding to the public scale.
According to another preferred embodiment of the present invention, the design method further comprises: creating a follow-up table according to the public table, the private table and the corresponding department, wherein the creation process of the follow-up table comprises the following steps:
generating a gauge creating request according to the medical scene requirement;
the scale creation request is transmitted to a scale examination part, and whether a requestor corresponding to the scale creation request has scale creation requirements and authority is judged;
and if the creation requirement and the right exist, performing reference and copying of the public scale and the private scale after the examination is passed, or copying the questions from the public question bank and the private question bank for constructing the follow-up question table matched with the patient.
According to another preferred embodiment of the present invention, the design method comprises: and if the modification requirement and the modification authority of the current creator to the previous follow-up table exist, calling the private table and the public table of the corresponding department for reference and copying, or copying the corresponding questions from the public question bank and the private question bank to the corresponding follow-up table.
According to another preferred embodiment of the present invention, the design method further comprises: designing a relevance scale problem, adding a scale header, a problem linkage relation, a problem sequence relation, a compulsory filling setting range and a numerical filling range, and after the relevance scale problem design is completed, setting a search algorithm with redundant fields, wherein the redundancy comprises a question name, a question type and a header and is used for quickly searching the constructed scale form and the problem.
According to another preferred embodiment of the present invention, the design method further comprises a topic recommendation method based on fpgorowth algorithm, wherein the topic recommendation method comprises: the method comprises the steps of obtaining form names and corresponding topics of at least one scale, calculating topic names under all forms, sequencing the topic names, and constructing a frequent set item; setting a minimum support threshold, deleting the title names smaller than the minimum support threshold under the frequent set items, constructing FpTree according to the sequencing result of the frequent set items, executing frequent item set mining according to the FpTree, calculating the matching value of the mining result, and outputting the title mining result with the highest matching degree.
According to another preferred embodiment of the present invention, the method for constructing the FpTree comprises: adding a root node null, wherein the root node is the highest node, traversing all the tables, and obtaining all the tables after the problems are sorted to obtain a problem list; and sequentially connecting each node in series from the root node to the small node according to the topic list, wherein when the topic exists in the current node, the accumulated value of the topic of the current node is plus 1, if the topic does not exist, a new node is added, and the accumulated value of the node is recorded as 1 until the series connection of the last node is completed.
The invention further provides a dynamic follow-up rating table design system, and the system executes the dynamic follow-up rating table design method.
The invention further provides a computer-readable storage medium storing a computer program, which can be executed by a processor to perform the dynamic follow-up table designing method.
Drawings
FIG. 1 is a schematic flow chart showing a method for designing a dynamic follow-up table according to the present invention.
FIG. 2 is a schematic diagram showing the process of creating and modifying the gauge in the present invention.
FIG. 3 is a block diagram of the public and private scale systems of the present invention.
FIG. 4 is a schematic diagram showing the interaction between two question banks and the public and private scales according to the present invention.
FIG. 5 is a diagram showing an example of a data set of topics corresponding to the scale of the present invention.
FIG. 6 is a schematic diagram of a frequent itemset constructed in the present invention.
FIG. 7 shows two side datasets ordered according to the frequent item set in the present invention.
FIG. 8 shows a fp-tree constructed in accordance with the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Referring to fig. 1 to 8, the present invention discloses a method and a system for designing a dynamic follow-up table, wherein the method comprises the following steps: the follow-up question bank is constructed by the medical knowledge officer, and the question bank comprises questions of different departments, so that the constructed follow-up question bank can cover all departments. And classifying questions according to the constructed follow-up question bank, setting the question types which are adapted to patients in departments in the whole hospital as public questions to form a public question bank, and setting the questions which are adapted to the patients in the professional departments as private questions to form a private question bank, wherein the private questions in the professional departments need to be pre-established and set by specific medical personnel aiming at specific disease types. The invention further creates a public scale and a private scale according to the preset public subject library, the private subject library and the medical scene. And further respectively creating follow-up tables adapted to different patients according to the public tables and the private tables, further binding the patient receiving terminal and the system in the hospital in a short link mode, and pushing the matched patient to the receiving terminal of the patient through short link communication after searching the corresponding patient from the hospital.
In particular, the present invention provides a high degree of freedom and rich knowledge base follow-up interview scale design with public and private scales, wherein the subjects in the public scale include, but are not limited to, satisfaction surveys, flow charts, etc. adapted to the subjects in the whole hospital. The questions in the private scale include, but are not limited to, diagnosis questions of each department, such as inquiry questions common to liver disease departments, such as hepatitis B. Furthermore, as the public scale has the widest adaptability, the medical staff in the whole hospital can be arranged on the public scale, and the operation permission which can be quoted and copied in the whole hospital is further configured on the public scale; for the private scale, the corresponding department can be configured to be visible, for example, for the private scale of the liver disease department, the medical personnel configuring the liver disease department can copy and refer to the private scale. The invention further configures editing authority for the public scale and the private scale, and aiming at the public scale, nurses can not edit the public scale under the conventional condition, only have the authority of quoting and copying the public scale, and the authority of editing, creating and deleting the public scale is configured at a higher-level nursing department of the medical system, and the medical knowledge officer of the nursing department creates, edits and deletes the public scale, so that the quality of the subject data of the public scale can be guaranteed, and meanwhile, the high degree of freedom of the public scale is also considered. For the authority configuration of the private scale, because the private scale is only visible to medical staff of a corresponding department, under a normal condition, the medical staff of the corresponding department cannot directly create, edit and delete the corresponding private scale under a normal condition, and only has the authority of copying and quoting. The editing, creating and deleting authority of the private scale is configured in a nursing department with a higher level, and the corresponding private scale is created by extracting corresponding questions from a private question bank through medical knowledge officers of corresponding departments according to professional knowledge.
It is worth mentioning that one of the advantages of the present invention is that the follow-up table has higher degree of freedom and creation efficiency by configuring the public table and the private table and modifying, creating and deleting under the requirements of different scenes. Through the creation authority, the modification authority and the deletion authority configured by the nursing department, when medical personnel corresponding to departments need to modify corresponding public scales or private scales, the medical personnel corresponding to the departments initiate an editing request from a terminal of the medical personnel, the editing request comprises corresponding scale modification requirements, the editing request is uploaded to the nursing department with the editing authority, after the nursing department edits and acquires the editing request, whether reasonable scale modification requirements exist in the request is checked, whether the medical personnel uploaded by the editing request meets the editing authority of the scales and questions is further judged, if the medical personnel uploaded by the editing request uploads clear scale modification requirements and evidences, and the medical personnel has the editing authority of the scales needing to be modified, the nursing department passes the check of the request, after the audit is passed, the medical staff uploading the editing request can obtain the editing authority corresponding to the scale, wherein the editing authority comprises: and searching the required questions from the public question bank or the private question bank again, copying the required questions into the corresponding public scale or the private scale, configuring the display sequence of the questions on the corresponding scale, and further submitting the modified scale to a nursing department for confirmation. It should be noted that, the modification of the follow-up table can greatly reduce the flow time of re-editing the table, so that the rapid modification and creation of the table can be realized in different medical scenes.
For the editing process of the above-mentioned scale, the present invention is exemplified as follows: for example, when a liver disease patient is in a high risk area of new coronary pneumonia, and a medical staff in contact with the liver disease patient performs follow-up investigation, the corresponding private scale acquired by the corresponding medical staff only has a subject related to the liver disease, and actually the corresponding medical staff should consider whether the patient has the possibility of infecting the new coronary pneumonia, and if the public scale related to the flow regulation in the existing public scale does not have the new coronary flow regulation scale, the corresponding medical staff is required to create a follow-up scale for the liver disease patient in the high risk area again. Acquiring address information of a patient corresponding to medical staff, uploading a high-risk area certificate, generating a scale editing request containing the address information of the patient and a new crown high-risk area issuing certificate at a terminal corresponding to the medical staff, uploading the scale editing request to a nursing department, auditing the editing request by a medical knowledge officer of the nursing department, checking the address information of the patient and the new crown high-risk area issuing certificate, passing the audit of the scale editing request, obtaining the editing authority of a corresponding private scale and a public scale by the corresponding medical staff, and searching a subject related to the new crown pneumonia flow in a public problem bank or a private problem bank by the corresponding medical staff: copying the questions related to the new coronary pneumonia flow regulation into the corresponding liver disease private scale, reconstructing a follow-up table according with the current high-risk area liver disease patients, sending the edited table to a nursing department for confirmation, and then pushing the table to the bound high-risk area liver disease patients. As can be clearly understood by those skilled in the art, the editing and modifying process of the table rebuilds the table content under a specific medical scene through editing authority audit when a standardized private table is quoted, so that the follow-up table for a patient has both normative performance and flexibility.
It should be noted that, the edited public scale and private scale are stored in the non-relational database NoSql, for example, the non-relational database preferred in the present invention is a MongoDB, the MongoDB database has the characteristics of high performance, expandability, easy deployment, easy use, and very convenient data storage, and can meet the concurrent requirements of scale and answer, and the present invention further preferably adopts a full text search engine (MapReduce, aggregate) to perform answer condition statistics and index analysis of each question, and to quickly understand the state of illness of the discharged patient. The invention further adopts a json schema verification technology, sets additional field types, necessary filling, length, data range, character string regular matching verification and the like aiming at answers of different problems, can greatly improve the quality of follow-up data, and realizes accurate acquisition of patient data. The invention further designs the version of the scale, acquires the timestamp of each version of the scale, takes the timestamp as the version number, and executes the data collection and statistics process of the patient in each time according to the follow-up table and runs in the respective data domain. The follow-up staff can judge the collection condition of the scale data and the patient condition change of the patient under different nursing conditions more accurately.
The hospital system and the patient terminal are bound and communicated by using a short link technology, wherein the hospital system and the patient terminal are bound in advance, when the follow-up visit table requirement exists, the patient information needing follow-up visit is identified in files stored by the hospital system, the corresponding private table and the public table are called according to the patient visit department and the sick information to form a follow-up visit table adaptive to the corresponding patient, and the constructed follow-up visit table is further sent to the bound patient terminal through the short link technology. Because the short link technology is adopted, the patient information is identified and acquired from the hospital system instead of being identified and acquired in the wide area network, the leakage of the patient information can be effectively avoided, and the method is suitable for short messages and other communication modes with smaller text length.
To better illustrate the technology of the present invention, the present invention further explains the constructed public and private question bank models, scale design and problem design:
establishing classified public topics and private topics according to professional knowledge of a medical knowledge officer, wherein the topic design comprises: topic name, topic primary key, question name, question content, question type, creation time, creator, associated condition trigger value, etc. The topic can be composed of a series of questions, for example, if the topic is a physical sign question, the corresponding questions include but are not limited to characteristics such as body temperature, height, weight, and the like. The question types can be set, and include but not limited to single-choice, multiple-choice, text, examination report and medical formula, and the answer types of different questions can be set by combining json schema verification technology, and the types of added fields, necessary filling, length, data range, character string regular matching verification and the like can be set. And further using the question recommendation of the FpGrowth algorithm and combining the copying function of the question, the quick scale question and question creation can be realized.
The scale design comprises a scale name, a header, a remark, a scale main key, a version number, creation time, a problem id, a problem name, a problem type, problem content and the like. The scale can set the precedence relationship and the incidence relationship of the problems, so that the problems of the scale are more standard and reasonable. The scale can be set to be sequentially adjusted, set in a data range and linked between problems after the questions are selected, and the scale is set to be filled.
The patient's answer design includes: user name, treatment card, department, meter name, head and related questions. The meter answers the questions, records the information of the patient and the answering content. And the fast query of answer and the key dimension statistics are realized by using the space time-changing idea, redundant question names, question types, table headers and other fields. The statistical fields are redundant in the same large table, and a document searching algorithm is utilized to directly and quickly query the single table.
It is worth mentioning that, in order to reduce the design time cost of the table title, the invention uses the fpgorwhth algorithm to execute the title recommendation of the table title, wherein the fpgorwhth algorithm is based on the Frequent Pattern mining field and is based on the information compression Tree-Frequent Pattern Tree (FPTree), and the invention uses the fpgorwhth algorithm to perform the intelligent association recommendation of the title when the table is created, which specifically comprises the following steps:
firstly, a scale data set is obtained, the scale data set includes a scale name and a scale corresponding topic, please refer to fig. 5 for example, and the scale data set includes a general scale, a flow chart, obesity, fever and an elderly scale as a sample library. And further counting the occurrence times of different titles of the quantitative table in the sample library, sequencing according to the occurrence times to obtain a first-level frequent item set (shown in figure 6), setting a minimum support threshold, and deleting titles (nucleic acids) smaller than the minimum support threshold from the frequent item set if the minimum support threshold is set to be 2, wherein the rationality of the titles can be realized by the minimum support threshold. And sorting the titles in the table data set according to the occurrence frequency of the first-level frequent item set according to the sorting result of the first-level frequent item set (as shown in fig. 7), wherein the column titles in the sorted table data set represent a node.
It should be noted that, in the present invention, an FpTree is constructed according to the sorted table dataset of the first-level frequent item set, and the FpTree construction method includes: firstly, adding a root node null, wherein the root node is the highest level node, traversing the sorted problems under the root node null, then performing topic series connection on the sorted problems according to the nodes of the column problems, if the topics exist, adding a node with a cumulative number of +1, and if the topics do not exist, adding a node and marking the cumulative number to be 1. As shown in fig. 8, the topics included in the first layer of nodes are blood pressure and body temperature, the frequency corresponding to blood pressure is 4, the frequency corresponding to body temperature is 1, the topics included in the second layer of nodes are gender and cough, the frequency corresponding to gender is 4, and the frequency corresponding to cough is 1, and the nodes of the lower layer are further constructed, so that it is known that the FpTree nodes corresponding to the topics in all the scale data sets are constructed.
After FpTree is built, further mining of frequent item sets is carried out, the mining algorithm is called FpGrowth (frequency Pattern growth) algorithm, and mining starts from the last item of the header. Namely [ cough ]. Here, starting from [ cough ], all [ cough ] nodes are found according to the chain of threads of { cough }, and then a branch of each [ cough ] node is found: { blood pressure, sex, body temperature, cough: 1}, { body temperature, cough: 1}, where "1" indicates 1 occurrence, except { cough }, we get the corresponding prefix path { blood pressure, gender, body temperature: 1 and body temperature 1, we can generate a condition FpTree according to the prefix path, and the construction mode is the same as before. The absolute support remains 2, the deletion support is 1 [ blood pressure ], [ sex ], the single pathway here is [ null ] - > [ body temperature: 2 ] the frequent set of these [ coughs ] is { body temperature }. And repeating the steps to mine other topics.
The FpTree generated as described above assumes that there is now a scale a containing the problem [ height ] blood pressure ]. According to the above frequent set, the matching degree of [ first diagnosis ] and [ weight ] is 2, and the matching degree of [ gender ] and [ body temperature ] is 1. Therefore, the title [ first diagnosis ] and the weight [ sex ] are recommended preferentially and pushed secondarily.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless section, wire section, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be understood by those skilled in the art that the embodiments of the present invention described above and illustrated in the drawings are given by way of example only and not by way of limitation, the objects of the invention having been fully and effectively achieved, the functional and structural principles of the present invention having been shown and described in the embodiments, and that various changes or modifications may be made in the embodiments of the present invention without departing from such principles.
Claims (8)
1. A method for designing a dynamic follow-up rating scale, comprising the steps of:
constructing a public question bank and a private question bank in advance according to the medical knowledge type;
creating a public measuring table and a private measuring table according to the public question bank, the private question bank and the medical scene;
storing the created public scale and private scale in a non-relational database;
according to the medical scene requirements, the follow-up question types are quoted and copied from the public scale and the private scale, and the follow-up question types are used for constructing a follow-up scale which is adaptive to a corresponding department;
binding the constructed follow-up visit table with the user, and executing the pushing of the follow-up visit table;
the question type in the public scale is visible for all medical staff, the question type content of the public scale is adapted to public medical knowledge, the question type of the private scale is visible for the target department, and the question type content of the private scale is adapted to special medical knowledge;
configuring corresponding subject bank authorities of a public measuring table and a private measuring table aiming at different departments, wherein the subjects in the public measuring table are set to be capable of being quoted and copied by all departments and medical personnel, and the subjects of the private measuring table are set to be capable of being quoted and copied only by the corresponding departments and medical personnel;
the design method further comprises a topic recommendation method based on the FpGrowth algorithm, wherein the topic recommendation method comprises the following steps: the method comprises the steps of obtaining form names and corresponding topics of at least one scale, calculating topic names under all forms, sequencing the topic names, and constructing a frequent set item; setting a minimum support threshold, deleting the title names smaller than the minimum support threshold under the frequent set items, constructing FpTree according to the sequencing result of the frequent set items, executing frequent item set mining according to the FpTree, calculating the matching value of the mining result, and outputting the title mining result with the highest matching degree.
2. The method for designing a dynamic follow-up rating scale according to claim 1, wherein the method further comprises: and acquiring the questions corresponding to the private scale, converting the private scale questions into public questions, and storing the public questions into a non-relational database corresponding to the public scale.
3. The method of claim 1, wherein the method further comprises: and establishing a follow-up quantity table according to the public quantity table, the private quantity table and the corresponding department, wherein the establishment flow of the follow-up quantity table comprises the following steps:
generating a gauge creating request according to the medical scene requirement;
the scale creation request is transmitted to a scale examination part, and whether a requestor corresponding to the scale creation request has scale creation requirements and authority is judged;
and if the creation requirement and the right exist, performing reference and copying of the public scale and the private scale after the examination is passed, or copying the questions from the public question bank and the private question bank for constructing the follow-up question table matched with the patient.
4. The method of claim 3, wherein the method comprises: and if the modification requirement and the modification authority of the current creator to the previous follow-up table exist, calling the private table and the public table of the corresponding department for reference and copying, or copying the corresponding questions from the public question bank and the private question bank to the corresponding follow-up table.
5. The method of claim 1, wherein the method further comprises: designing a relevance scale problem, adding a scale header, a problem linkage relation, a problem sequence relation, a compulsory filling setting range and a numerical filling range, and after the relevance scale problem design is completed, setting a search algorithm with redundant fields, wherein the redundancy comprises a question name, a question type and a header and is used for quickly searching the constructed scale form and the problem.
6. The method for designing the dynamic follow-up table according to claim 1, wherein the FpTree is constructed by the method comprising the following steps: adding a root node null, wherein the root node is the highest node, traversing all the tables, and obtaining all the tables after sorting to obtain a question list; and sequentially connecting each node in series from the root node to the small node according to the topic list, wherein when the topic exists in the current node, the accumulated value of the topic of the current node is +1, if the topic does not exist, a new node is added, and the accumulated value of the node is recorded as 1 until the series connection of the last node is completed.
7. A dynamic follow-up rating scale design system, wherein the system implements a dynamic follow-up rating scale design system as described above, and the system implements a dynamic follow-up rating scale design method as claimed in any one of claims 1 to 6.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which can be executed by a processor to perform a method of designing a dynamic follow-up table according to any one of claims 1 to 6.
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